Ken‐ichiro Abe
Impact in
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- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Renal and related cancers
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- Reproductive Biology and Fertility
Papers in
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- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 1
- Signaling Pathways in Disease 1
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- Reproductive Biology and Fertility 4
- Co-authors
- Fugaku Aoki (5 shared papers)Masataka G. Suzuki (5 shared papers)Yutaka Suzuki (3 shared papers)Richard M. Schultz (2 shared papers)Azusa Inoue (2 shared papers)Petr Svoboda (1 shared paper)Vedran Franke (1 shared paper)Kristian Vlahoviček (1 shared paper)
- Journals
- Journal of Reproduction and Development (3 papers)The EMBO Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)Reproduction (1 paper)Cell Reports (1 paper)
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Ken‐ichiro Abe
7 papers receiving 355 citations
Peers
Comparison fields: 5 of 32
- Molecular Biology 326
- Public Health, Environmental and Occupational Health 127
- Aging 5
- Reproductive Medicine 23
- Cancer Research 37
Countries citing papers authored by Ken‐ichiro Abe
This map shows the geographic impact of Ken‐ichiro Abe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ken‐ichiro Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichiro Abe more than expected).
Fields of papers citing papers by Ken‐ichiro Abe
This network shows the impact of papers produced by Ken‐ichiro Abe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ken‐ichiro Abe. The network helps show where Ken‐ichiro Abe may publish in the future.
Co-authors
The 12 scholars most cited alongside Ken‐ichiro Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 163 | |
| 2 | 2015 | 121 | |
| 3 | 2010 | 42 | |
| 4 | 2009 | 13 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 4 | |
| 7 | 2015 | 4 |
About Ken‐ichiro Abe
Ken‐ichiro Abe is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Plant Science, having authored 7 papers that have together received 359 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (4 papers), RNA Research and Splicing (3 papers), Pluripotent Stem Cells Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Animal Genetics and Reproduction (2 papers), Epigenetics and DNA Methylation (1 paper), Prenatal Screening and Diagnostics (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Molecular Biology (326 citations), Public Health, Environmental and Occupational Health (127 citations), Aging (5 citations), Reproductive Medicine (23 citations) and Cancer Research (37 citations). Ken‐ichiro Abe has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Fugaku Aoki, Masataka G. Suzuki, Yutaka Suzuki, Richard M. Schultz, Azusa Inoue, Petr Svoboda, Vedran Franke, Kristian Vlahoviček, Tamás Schauer and Maria‐Elena Torres‐Padilla. Their work appears in journals such as Journal of Reproduction and Development, The EMBO Journal, Proceedings of the National Academy of Sciences, Reproduction and Cell Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.